SETTLEMENT TELEMETRY

Inference Log

MID: gtfHeFsvkKTTAgps

Log MIDgtfHeFsvkKTTAgps
Typechat_completion
Aliasdeepseek-v4-flash-g2 / gtNPvZSEVNq72rnw
Hostinforaxi-server:3300:v1.1.3736-1-gf63106d5c
Mode / Protoreq-v1-chatcmplopenai-chatcmpl
Vendor/LLMvolcengine-bizplan-dtx/deepseek-v4-flash-ga-260731
Statussuccess
User Pricing
109 × 1.8 = 0.000196
0 × 0.06 = 0.000000
599 × 5.4 = 0.003235
CNY 0.003431
Vendor Cost
109 × 1.2 = 0.000131
0 × 0.04 = 0.000000
599 × 3.6 = 0.002156
CNY 0.002287
Latency5.83398158s
Summary
{
  "system_prefix": null,
  "history_count": 1,
  "user_summary": {
    "text": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "## 一、什么是递归\n\n递归(Recursion)是一种**在函数定义中直接或间接调用自身**的编程技巧或数学概念。它的核心思想是:把一个大型复杂的问题**层层转化为一个与原问题相似但规模较小的问题**来解决,直到规模小到可以直接求出答案为止。\n\n递归包含两个密不可分的基本要素:\n\n- **基线条件",
    "tool_calls": [],
    "stop_reason": "length"
  }
}
Stop Reasonlength
Vendor Request
Method: POST

URL: https://ark.cn-beijing.volces.com/api/v3/chat/completions

Headers:
{
  "authorization": "Bearer ark-f137c261-ce2c-4ac5-b065-fafb2270c3d7-1801e",
  "content-type": "application/json"
}

Body:
{
  "max_tokens": 300,
  "messages": [
    {
      "content": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。",
      "role": "user"
    }
  ],
  "model": "deepseek-v4-flash-ga-260731"
}
Vendor Response
Headers:
{
  "content-length": "3180",
  "content-type": "application/json; charset=utf-8",
  "date": "Sun, 30 Aug 2026 13:32:30 GMT",
  "server": "istio-envoy",
  "vary": "Accept-Encoding",
  "x-client-request-id": "unknown-20260830213225-JhddpjBC",
  "x-envoy-upstream-service-time": "5801",
  "x-request-id": "021788096745940b566464da517b102b4cb09cdfd60e7ee7225ee"
}

Body:
{
  "choices": [
    {
      "finish_reason": "length",
      "index": 0,
      "logprobs": null,
      "message": {
        "content": "## 一、什么是递归\n\n递归(Recursion)是一种**在函数定义中直接或间接调用自身**的编程技巧或数学概念。它的核心思想是:把一个大型复杂的问题**层层转化为一个与原问题相似但规模较小的问题**来解决,直到规模小到可以直接求出答案为止。\n\n递归包含两个密不可分的基本要素:\n\n- **基线条件(Base Case)**:递归的终止条件,当满足该条件时,函数不再调用自身,直接返回结果. 它是递归\"出口\",防止无限循环。\n- **递归条件(Recursive Case)**:函数对自身进行调用的部分,它必须逐步接近基线条件,即每次调用时问题规模都应缩小(如参数递减、数据范围减半等)。\n\n> 一句话概括:**递归 = 递推 + 回归**。先\"递\"下去,层层深入;再\"归\"上来,层层返回结果。\n\n---\n\n## 二、递归的底层工作原理\n\n理解递归需要理解**调用栈(Call Stack)**机制:\n\n1. 每当一个函数被调用时,系统会为此次调用在内存栈中压入一个**栈帧**,保存局部变量、参数、返回地址等现场信息。\n2. 递归调用时,新的栈帧会压在旧的栈帧之上,层层叠加。\n3. 当达到基线条件开始返回时,栈帧依次弹出,每个调用得到自己的返回值,并继续执行",
        "reasoning_content": "The user is asking me to explain recursion in detail, with examples, in a structured point-by-point manner, with expanded discussion. The request is in Chinese, so I should respond in Chinese. Let me think about how to structure this comprehensively.\n\nRecursion is a fundamental concept in computer science and mathematics. I need to:\n\n1. Define recursion clearly\n2. Explain the key components (base case, recursive case)\n3. Provide examples across different domains\n4. Discuss how it works (call stack)\n5. Compare with iteration maybe\n6. Discuss advantages/disadvantages\n7. Maybe mention types of recursion (linear, tail, tree, etc.)\n8. Common use cases\n\nLet me write this out thoroughly in Chinese with clear structure.\n\nKey points to cover:\n- 定义:函数直接或间接调用自身\n- 核心要素:基线条件(base case)+ 递归条件(recursive case)\n- 如何工作:栈帧/调用栈\n- 经典例子:阶乘、斐波那契数列、汉诺塔、树的遍历、分治算法(快速排序/归并排序)\n- 递归类型:线性递归、尾递归、树形递归\n- 与迭代比较\n- 优缺点:代码简洁可读性好;性能开销、栈溢出风险\n- 应用场景:数据结构(树/图)、算法设计(分治/回溯/动态规划)\n\nLet me write a detailed, well-organized answer.",
        "role": "assistant"
      }
    }
  ],
  "created": 1788096751,
  "id": "021788096745940b566464da517b102b4cb09cdfd60e7ee7225ee",
  "model": "deepseek-v4-flash-ga-260731",
  "service_tier": "default",
  "object": "chat.completion",
  "usage": {
    "completion_tokens": 599,
    "prompt_tokens": 109,
    "total_tokens": 708,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 298
    }
  }
}
Token Usage
{
  "completion_tokens": 599,
  "completion_tokens_details": {
    "reasoning_tokens": 298
  },
  "prompt_tokens": 109,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 708
}
Fixes
User Request
Method: POST

URL: /v1/chat/completions

Headers:
{
  "accept": "*/*",
  "accept-encoding": "gzip",
  "authorization": "Bearer sk_r4gAXloJQt74Cp4prb19OItKzoG77lLhjmWT4ei20Ua",
  "content-length": "339",
  "content-type": "application/json",
  "host": "api.tokendiet.cn",
  "user-agent": "curl/8.5.0",
  "via": "2.0 Caddy",
  "x-forwarded-for": "13.212.110.206",
  "x-forwarded-host": "api.tokendiet.cn",
  "x-forwarded-proto": "https"
}

Body:
{
  "model": "deepseek-v4-flash-g2",
  "messages": [
    {
      "role": "user",
      "content": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。"
    }
  ],
  "max_tokens": 300
}
User Response
Body:
{
  "choices": [
    {
      "finish_reason": "length",
      "index": 0,
      "logprobs": null,
      "message": {
        "content": "## 一、什么是递归\n\n递归(Recursion)是一种**在函数定义中直接或间接调用自身**的编程技巧或数学概念。它的核心思想是:把一个大型复杂的问题**层层转化为一个与原问题相似但规模较小的问题**来解决,直到规模小到可以直接求出答案为止。\n\n递归包含两个密不可分的基本要素:\n\n- **基线条件(Base Case)**:递归的终止条件,当满足该条件时,函数不再调用自身,直接返回结果. 它是递归\"出口\",防止无限循环。\n- **递归条件(Recursive Case)**:函数对自身进行调用的部分,它必须逐步接近基线条件,即每次调用时问题规模都应缩小(如参数递减、数据范围减半等)。\n\n> 一句话概括:**递归 = 递推 + 回归**。先\"递\"下去,层层深入;再\"归\"上来,层层返回结果。\n\n---\n\n## 二、递归的底层工作原理\n\n理解递归需要理解**调用栈(Call Stack)**机制:\n\n1. 每当一个函数被调用时,系统会为此次调用在内存栈中压入一个**栈帧**,保存局部变量、参数、返回地址等现场信息。\n2. 递归调用时,新的栈帧会压在旧的栈帧之上,层层叠加。\n3. 当达到基线条件开始返回时,栈帧依次弹出,每个调用得到自己的返回值,并继续执行",
        "reasoning_content": "The user is asking me to explain recursion in detail, with examples, in a structured point-by-point manner, with expanded discussion. The request is in Chinese, so I should respond in Chinese. Let me think about how to structure this comprehensively.\n\nRecursion is a fundamental concept in computer science and mathematics. I need to:\n\n1. Define recursion clearly\n2. Explain the key components (base case, recursive case)\n3. Provide examples across different domains\n4. Discuss how it works (call stack)\n5. Compare with iteration maybe\n6. Discuss advantages/disadvantages\n7. Maybe mention types of recursion (linear, tail, tree, etc.)\n8. Common use cases\n\nLet me write this out thoroughly in Chinese with clear structure.\n\nKey points to cover:\n- 定义:函数直接或间接调用自身\n- 核心要素:基线条件(base case)+ 递归条件(recursive case)\n- 如何工作:栈帧/调用栈\n- 经典例子:阶乘、斐波那契数列、汉诺塔、树的遍历、分治算法(快速排序/归并排序)\n- 递归类型:线性递归、尾递归、树形递归\n- 与迭代比较\n- 优缺点:代码简洁可读性好;性能开销、栈溢出风险\n- 应用场景:数据结构(树/图)、算法设计(分治/回溯/动态规划)\n\nLet me write a detailed, well-organized answer.",
        "role": "assistant"
      }
    }
  ],
  "created": 1788096751,
  "id": "021788096745940b566464da517b102b4cb09cdfd60e7ee7225ee",
  "model": "deepseek-v4-flash-g2",
  "object": "chat.completion",
  "service_tier": "default",
  "usage": {
    "completion_tokens": 599,
    "completion_tokens_details": {
      "reasoning_tokens": 298
    },
    "prompt_tokens": 109,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "total_tokens": 708
  }
}
Created At8/30/2026, 9:32:25 PM